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proposal. This PhD will evaluate the efficacy and suitability of digital image collection and analysis for beach litter characterisation on heavily-littered coastlines, in partnership with community groups
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) About the Project Unravelling the outcomes of cell–cell interactions is fundamental to understanding biological processes. The ability to visualise and track these interactions in vivo greatly enhances
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of biological processes using diverse experimental systems. We apply state-of-the-art technologies, including high-resolution fluorescence microscopy, quantitative proteomics (HDX and XL MS), (cryo-)electron
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hierarchically organised samples. To achieve this, we need to improve our understanding of the physical image formation and data recovery processes, among other topics. The advertised positions will focus
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or equivalent Specific Requirements Item 01: Academic diplomas (degree and master), related to data & image processing (punctuation: 25) Item 02: Enrolled in a PhD program related to Applied Geotechnologies
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new Wellcome-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad
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organizational levels of the brain – from molecular and cellular processes to complex neuronal networks and behavior. In association with the SFB 1436, Neural Resources of Cognition (supported by the German
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power consumption. Many emerging biomedical devices, such as non-invasive and indwelling systems, require reliable operation and continuous feedback on biochemical conditions at the device–tissue
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speed - Provide human experts with a reliable second opinion This project integrates image processing, data analytics, machine learning, and computational modelling, with applications in aerospace
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Knowledge of medical imaging Good knowledge of image processing Good knowledge of signal processing Good knowledge of AI for medical imaging Ability to use computer programming tools Ability to use word